Goods distribution route optimization method for warehousing and logistics industry

Abstract

In the current study of goods distribution route optimization method in the industry of warehousing and logistics, because the current algorithm for route optimization have sluggish searching speed, and vulnerable to be involved in local optimal solution, a goods distribution route optimization method is raised for warehousing and logistics industry founded on hybrid ant colony algorithm. The method first carries on the detailed analysis for goods distribution route optimization, the mathematical model for optimizing goods distribution route is constructed, ant colony algorithm is brought up to resolve the model, and the quantum computation theory is incorporated to proceed quantum bit encoding for the pheromone on the route, quantum rotation gate and the optimal route are utilized to update the pheromone, and then effectively complete the optimization of goods distribution route for warehousing and logistics industry. Simulation results demonstrate that the goods distribution route optimization method based on hybrid ant colony algorithm for warehousing and logistics industry has strong global search ability and convergence speed, can excellently resolve the problem occurred in logistics distribution route. Introduction As the logistics industry is going through the rapid evolving stage, goods distribution route optimization has become a major problem to be solved immediately in the logistics industry [1.2.3]. The goods distribution route optimization method for warehousing and logistics industry can effectively solve the problem [4.5.6]. How to improve the reliability and credibility of logistics service ofthe enterprise appeals to a lot of experts and scholars [7.8]. As the goods distribution route optimization method for warehousing and logistics industry has comprehensive significance for expansion, it has become the focus topics being researched in the industry [9.10]. At present, the mainstream goods distribution route optimization method for warehousing and logistics industry based on the particle algorithm, the neural network algorithm, and also shuffled frog leaping algorithm. However, the current algorithm for route optimization have slow searching speed, and venerable to be involved in local optimal solution. Considering the problems pronounced above, a goods distribution route optimization method is offered for warehousing and logistics industry founded on hybrid ant colony algorithm. The method has robust global searching capability and convergence speed, and can meritoriously resolve the problem occurred in logistics distribution route. Principle of goods distribution route optimization in warehousing and logistics industry During the optimization course of goods distribution route in warehousing and logistics industry, the load of freight vehicle and the volume of distribution vehicle are considered as main constraints for the model, the feasibility of resolving the model is emphasized, and the suitable optimization routeway is sorted out to shrink the time for optimization and the consumption of computing resources. The explicit steps are as follows: During the optimization course of goods distribution route in warehousing and logistics industry, hypothesizing the mathematical model of optimized logistics distribution route is articulated as below: